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Programming languages

R
Git/GitHub
Nextflow
Bash
docker
Python

Disclaimer

Made with the R packages datadrivencv and pagedown.

The source code is available GitHub.

Last updated on 2025-06-15.

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Regina H Reynolds

Molecular biologist turned bioinformatician, with experience translating large-scale omics data into actionable insights for drug discovery. I’ve led cross-functional analyses across transcriptomics, genomics, and functional screens, collaborating closely across teams to build reproducible pipelines that support impactful R&D decisions. I’m driven by a commitment to scientific rigour, integrity, and transparency — and by a broader desire to make a meaningful contribution to the world through thoughtful, data-driven science.

Work experience

Lead Bioinformatician

CoSyne Therapeutics

London, UK

Present - 2022

  • Provide scientific and strategic leadership as co-lead of a 5-person computational biology team, setting research priorities in collaboration with team members, experimental and AI teams, and senior leadership.
  • Drive company-wide ’omics initiatives spanning whole-genome sequencing, transcriptomics and CRISPRi screens to support target discovery in glioblastoma multiforme.
  • Establish scalable, robust, and reproducible computational workflows through adoption of tools such as Nextflow and Seqera Cloud for workflow orchestration, Docker for containerisation, R targets for reproducible exploratory data analysis, and Cruft templates for project scaffolding.
  • Contribute to shaping company culture through active involvement in recruitment and development of CoSyne’s personal development framework.

Research Fellow

University College London

London, UK

2022 - 2021

  • Lead analyst involved in processing and analysing transcriptomic data generated with the aim of identifying molecular signatures of Parkinson’s disease progression. Work performed using R, Nextflow and Docker.
  • Co-lead of Code and Pipeline Alignment Working Group in the Aligning Sciences Across Parkinson’s initiative. This group aimed to maximise the value of data generated from finite post-mortem brain tissues through code alignment, which would enable eventual meta-analysis.
  • Published 1 co-first author research article.

Research Assistant

University of Copenhagen

Copenhagen, Denmark

2016 - 2016

  • Led project exploring the interactions between miR-34a, Sirt1 and p53 in a Huntington’s disease mouse model, which culminated in a first author publication.

Education

PhD, Bioinformatics

University College London

London, UK

2021 - 2016

  • Thesis: Exploring the importance of cell-type-specific gene expression regulation and splicing in Parkinson’s disease.
  • Integrated GWAS summary statistics with bulk/single-cell transcriptomic, eQTL, and chromatin accessibility data to identify cell-type-specific regulatory mechanisms in Parkinson’s disease. Methods used included partitioned heritability, COLOC, and MAGMA.
  • Applied transcriptomic methods, including cell-type deconvolution, differential splicing analysis, and RNA-binding protein motif analysis, to investigate splicing alterations and their relevance to Lewy body diseases.
  • Published 3 first/co-first author research articles and 1 first author review. Successfully secured £10,000 from Signe og Peter Gregersens Mindefond to undertake transcriptional profiling of Parkinson’s disease brain tissue.

MSc, Molecular Biomedicine

University of Copenhagen

Copenhagen, Denmark

2016 - 2014

  • Thesis: Changes in the miR-34a-SIRT1 axis in Huntington’s disease
  • Grade: A (92.5%)

BSc, Molecular Biomedicine

University of Copenhagen

Copenhagen, Denmark

2013 - 2010

  • Thesis: Pro-apoptotic factors in Huntington’s disease: a study in the R6/2 transgenic mouse model
  • Grade: A (96.7%)

Teaching experience

Subsidiary PhD Supervisor

University College London

London, UK

2025 - 2021

  • Secondary supervisor to Dr. Aaron Wagen. Provided support around transcriptomic analyses, bioinformatics workflows and statistical genetics.

R fundamentals with Clinician Coders

University College London

London, UK

2022 - 2019

  • Developed materials and led workshops teaching basic R and tidy data principles to clinical academics.

Omics Techniques

King’s College London

London, UK

2019 - 2017

  • Lectured graduate level students on the principles of genome-wide association studies and led a workshop on how/why to use the Genotype-Tissue Expression portal.

Voluntary Work

Peer Reviewer

N/A

London, UK

Present - 2018

  • Reviewer for several scientific journals.

Mentor

Social Mobility Foundation

London, UK

2022 - 2017

  • Mentored 4 A-level students looking to work in the field of biomedical research.

Key publications

A full list of publications is available online at https://rhreynolds.github.io/cv

Local genetic correlations exist among neurodegenerative and neuropsychiatric diseases

NPJ Parkinson’s disease

N/A

2023

  • Reynolds, RH, Wagen, AZ, Lona-Durazo, F, Scholz, SW, Shoai, M, Hardy, J, Gagliano Taliun, SA, Ryten, M
  • Role: Co-first author, lead analyst and corresponding author.
  • Analysis of local genetic correlations between neurodegenerative and neuropsychiatric disorders, with the aim of identifying genomic regions and genes that may drive pleiotropy.

Cross-platform transcriptional profiling identifies common and distinct molecular pathologies in Lewy body disorders

Acta Neuropathologica

N/A

2021

  • Feleke, R, Reynolds, RH, Smith, A, Tilley, B, Gagliano Taliun, SA, Hardy, J, Matthews, PM, Gentleman, S, Owen , D, Johnson, MR, Srivastava, P, Ryten, M
  • Role: Co-first author and analyst.
  • Transcriptomic analysis of cell-type-specific changes in the Lewy body diseases.

Informing disease modelling with brain-relevant functional genomic annotations

Brain

N/A

2019

  • Reynolds, RH, Hardy, J, Ryten, M, Gagliano Taliun, SA
  • Role: First author.
  • Review of conceptual advances in the generation of brain-relevant functional genomic annotations and among tools that allow integration of these annotations with genome-wide association summary statistics.

Moving beyond neurons: the Role of cell type-specific gene regulation in Parkinson’s disease heritability

NPJ Parkinson’s disease

N/A

2019

  • Reynolds, RH, Botía, JA, Nalls, MA, International Parkinson’s Disease Genomic Consortium (IPDGC), System Genomics of Parkinson’s Disease (SGPD), Hardy, J, Gagliano Taliun, SA, Ryten, M
  • Role: First author and lead analyst.
  • Analysis of Parkinson’s disease common variation, with the aim of identifying cell types and pathways of importance to disease risk.

Conferences

AD/PD, Alzheimer’s & Parkinson’s Diseases Conference

N/A

Hybrid event

2022

  • Talk: Identifying genetic correlations among neurodegenerative and neuropsychiatric diseases

Genomics of Brain Disorders

N/A

Virtual event

2021

  • Talk: Dysregulation of splicing in human brain from individuals with Lewy body disease informs disease mechanisms

International Parkinson’s Disease Genomics Consortium

N/A

London, UK

2019

  • Talk: Pairing bulk and single-nuclear RNA-seq to identify dementia-related pathways in PD

AD/PD, Alzheimer’s & Parkinson’s Diseases Conference

N/A

Lisbon, Portugal

2019

  • Talk: Mapping Parkinson’s disease heritability to specific brain cell types
  • Received mention in a blog post on Alzforum.

International Parkinson’s Disease Genomics Consortium

N/A

Reykjavik, Iceland

2018

  • Talk: Moving beyond neurons: exploring the importance of cell type-specific gene expression in Parkinson’s disease